We are currently scheduling presenters for Q1 of 2019 and are interested in hearing about both the big picture ideas in infectious disease biostatistics, bioinformatics, and epidemiology methods, as well as hands-on/technical details about your feild of expertise. If you are interested in presenting at one of our seminars please contact the group’s project manager, Elly Appelmans.
Ying Qing Chen and Elly Appelmans: Presentation on Predicting PrEP Uptake and Adherence among Adolescent Girls and Young Women in Sub-Saharan Africa: Leveraging Programmatic and Clinical Trials Data to at Grantee Meeting, Madrid, Spain, October 22nd
Ying Qing Chen and Elly Appelmans: Attending HIVR4P, Madrid, Spain, October 21st - 25th 2018
Ying Qing Chen FDA Industry Workshop, Washington DC, September 12th - 18th 2018
Montaño MA, Dombrowski JC, Dasgupta S, Golden MR, Duerr A, Manhart LE, Barbee LA, Khosropour CM.Changes in Sexual Behavior and STI Diagnoses Among MSM Initiating PrEP in a Clinic Setting.AIDS Behav. 2018 Aug 16. PMID: 30117076. doi: 10.1007/s10461-018-2252-9. [Epub ahead of print]
Dasgupta S, Goldberg Y, & Kosorok M. (2013). Feature Elimination in Kernel Machines in moderately high dimensions. Annals of Statistics. 2018.
Subaward PI: Ying Chen. PI: Ajit Limaye. Expect more news October 2018.
PI: Michael Boeckh. Expect more news October 2018.
August 30th at Botanical gardens Wisteria Hall Arboretum. Honored guest speakers included: Ross Prentice from the Department of Biostatistics at the University of Washington and Ann Duerr from HOPE at Fred Hutchinson Cancer Research Center.
Jim Hughes: Design-based analyses of stepped wedge trials
Ann Duerr: TasP and cure strategies
Ross Prentice: Regression analysis of multivariate failure time data using single and double failure hazard rate models.
This Award program supported by Dr. Chen is open to current Chen Group members aims to provide start-up funds for early career investigators to begin new lines of inquiry. The program will also provide the team with the experience and training in project leadership.
Proposals are encouraged from the team across a variety of topics to fund research with the product of 1 poster presentation and preliminary data for a future R01 grant. See SharePoint site for details.
Abstract. External control arms built from real-world databases could potentially support regulatory and coverage decisions, enabling more efficient clinical evidence generation; however, many questions remain regarding the reliability and comparability of outcomes derived from real-world data versus clinical trials. Carrie Bennette will discuss the challenges, opportunities and learnings from attempting to replicate the outcomes observed in the control arms of recent trials in oncology using longitudinal data from a curated electronic medical records database. Carrie will also discuss her experience as a data scientist who transitioned from academia to Flatiron Health, a healthcare technology company working to accelerate cancer research and improve outcomes for cancer patients.